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Fan Lam
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Year
Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator
X Qu, Y Hou, F Lam, D Guo, J Zhong, Z Chen
Medical image analysis 18 (6), 843-856, 2014
3262014
Accelerated MR parameter mapping with low‐rank and sparsity constraints
B Zhao, W Lu, TK Hitchens, F Lam, C Ho, ZP Liang
Magnetic resonance in medicine 74 (2), 489-498, 2015
1892015
A subspace approach to high‐resolution spectroscopic imaging
F Lam, ZP Liang
Magnetic Resonance in Medicine 71 (4), 1349-1357, 2014
1712014
High‐resolution 1H‐MRSI of the brain using SPICE: Data acquisition and image reconstruction
F Lam, C Ma, B Clifford, CL Johnson, ZP Liang
Magnetic resonance in medicine 76 (4), 1059-1070, 2016
1482016
Maximum likelihood reconstruction for magnetic resonance fingerprinting
B Zhao, K Setsompop, H Ye, SF Cauley, LL Wald
IEEE transactions on medical imaging 35 (8), 1812-1823, 2016
1362016
Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors
J He, Q Liu, AG Christodoulou, C Ma, F Lam, ZP Liang
IEEE transactions on medical imaging 35 (9), 2119-2129, 2016
1232016
Removal of nuisance signals from limited and sparse 1H MRSI data using a union‐of‐subspaces model
C Ma, F Lam, CL Johnson, ZP Liang
Magnetic resonance in medicine 75 (2), 488-497, 2016
1012016
Model-based MR parameter mapping with sparsity constraints: parameter estimation and performance bounds
B Zhao, F Lam, ZP Liang
IEEE transactions on medical imaging 33 (9), 1832-1844, 2014
852014
Denoising diffusion‐weighted magnitude MR images using rank and edge constraints
F Lam, SD Babacan, JP Haldar, MW Weiner, N Schuff, ZP Liang
Magnetic Resonance in Medicine 71 (3), 1272-1284, 2014
852014
High‐resolution 1H‐MRSI of the brain using short‐TE SPICE
C Ma, F Lam, Q Ning, CL Johnson, ZP Liang
Magnetic resonance in medicine 77 (2), 467-479, 2017
652017
High‐resolution dynamic 31P‐MRSI using a low‐rank tensor model
C Ma, B Clifford, Y Liu, Y Gu, F Lam, X Yu, ZP Liang
Magnetic Resonance in Medicine 78 (2), 419-428, 2017
552017
A Subspace Approach to Spectral Quantification for MR Spectroscopic Imaging
Y Li, F Lam, B Clifford, ZP Liang
IEEE Transactions on Biomedical Engineering 64 (10), 2486-2489, 2017
522017
Simultaneous Qsm and metabolic imaging of the brain using Spice
X Peng, F Lam, Y Li, B Clifford, ZP Liang
Magnetic resonance in medicine 79 (1), 13-21, 2018
502018
More IMPATIENT: A gridding-accelerated Toeplitz-based strategy for non-Cartesian high-resolution 3D MRI on GPUs
J Gai, N Obeid, JL Holtrop, XL Wu, F Lam, M Fu, JP Haldar, WH Wen-mei, ...
Journal of parallel and distributed computing 73 (5), 686-697, 2013
492013
IMPATIENT MRI: Illinois massively parallel acceleration toolkit for image reconstruction with enhanced throughput in MRI
XL Wu, J Gai, F Lam, M Fu, JP Haldar, Y Zhuo, ZP Liang, WM Hwu, ...
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
392011
Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise andField Inhomogeneity
Y Liu, C Ma, BA Clifford, F Lam, CL Johnson, ZP Liang
IEEE Transactions on Biomedical Engineering 63 (4), 841-849, 2015
382015
Ultrafast magnetic resonance spectroscopic imaging using SPICE with learned subspaces
F Lam, Y Li, R Guo, B Clifford, ZP Liang
Magnetic resonance in medicine 83 (2), 377-390, 2020
362020
Constrained magnetic resonance spectroscopic imaging by learning nonlinear low-dimensional models
F Lam, Y Li, X Peng
IEEE transactions on medical imaging 39 (3), 545-555, 2019
362019
Proceedings-International Symposium on Biomedical Imaging
XL Wu, J Gai, F Lam, M Fu, JP Haldar, Y Zhuo, ZP Liang, WM Hwu, ...
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2011
35*2011
Early-Life Iron Deficiency Reduces Brain Iron Content and Alters Brain Tissue Composition Despite Iron Repletion: A Neuroimaging Assessment
AT Mudd, JE Fil, LC Knight, F Lam, ZP Liang, RN Dilger
Nutrients 10 (2), 135, 2018
332018
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Articles 1–20